Numerical expression analysis

Abstract

A method, computer program product and computer system are provided. A processor identifies a plurality of numeric expressions in a text corpus associated with a type of item. A processor generates a plurality of feature vectors corresponding to the identified plurality of numeric expressions. A processor identifies one or more common features of the plurality of feature vectors. A processor generates one or more rules for representing numeric quantities of the type of item based, at least in part, on the one or more common features of the plurality of feature vectors.

What is claimed is: 
     
         1 . A method comprising:
 identifying, by one or more processors, a plurality of numeric expressions in a text corpus associated with a type of item;   generating, by the one or more processors, a plurality of feature vectors corresponding to the identified plurality of numeric expressions;   identifying, by the one or more processors, one or more common features of the plurality of feature vectors; and   generating, by the one or more processors, one or more rules for representing numeric quantities of the type of item based, at least in part, on the one or more common features of the plurality of feature vectors.   
     
     
         2 . The method of  claim 1 , wherein the identified one or more common features are based, at least in part, on cluster analysis of the plurality of feature vectors mapped to a feature space. 
     
     
         3 . The method of  claim 1 , wherein the plurality of feature vectors include one or more of the following feature dimensions: (i) numeric value, (ii) expression type, (iii) expression precision, and (iv) unit of measurement. 
     
     
         4 . The method of  claim 3 , the method further comprising:
 determining, by the one or more processors, a respective plurality of normalized numeric values for the numeric value feature of the plurality of feature vectors.   
     
     
         5 . The method of  claim 4 , the method further comprising:
 identifying, by the one or more processors, a first common feature of the plurality of feature vectors based, at least in part, on a first range of normalized numeric values; and   identifying, by the one or more processors, a second common feature of the plurality of feature vectors based, at least in part, on a second range of normalized numeric values.   
     
     
         6 . The method of  claim 5 , wherein the one or more rules for representing numeric quantities include (i) the first common feature for numeric quantities in the first range of normalized numeric values and (ii) the second common feature for numeric quantities in the second range of normalized values. 
     
     
         7 . The method of  claim 1 , the method further comprising:
 receiving, by the one or more processors, a numeric value associated with the type of item;   retrieving, by the one or more processors, one or more rules for representing numeric quantities of the type of item; and   generating, by the one or more processors, a formatted portion of text based, at least in part, on the one or more rules for representing numeric quantities of the type of item, wherein the formatted numeric expression includes one or more of the following formatted features: (i) expression type, (iii) expression precision, and (iv) unit of measurement.